Hello, I am Nikos and I currently work as Data Analyst. I am data science enthusiast and love working with all data driven tasks.
My daily activities include manipulating and analyzing data to solve problems, building creative visualizations to gain insights and building machine learning models to predict business outcomes.
I am fan! I enjoy using R for data science and develop data products using R Shiny to automate processes and present findings.
I hold a MSc in Business Analytics from Athens University of Economics and Business and a BSc in Mathematics from University of Athens. I have solid mathematical and programming skills and experience with a variety of relational databases and big data systems.
Design, develop and maintain analytics app (R Shiny) for the following purposes: data visualisation, statistical results, simulation, KPI monitoring, customer scoring & segmentation, predictive modelling, etc.
Use supervised and unsupervised machine learning methods to optimize customer experience, revenue generation and other business outcomes
Enhance customer experience building recommender systems for personalized services
Prepare the thesis “Storage of Default Characterization Data”, as part of the M.Sc. in Business Analytics, Athens University of Economics and Business
Support regulatory requirements on reporting and monitoring of ICAP’s credit assessment evolution data to regulators
Support reporting to European Rating Platform (ERP/RADAR), the platform maintained by ESMA on credit rating agencies data
Design, develop and maintain statistical procedures and tools (automated and semi-automated procedures) for the monitoring of credit assessment evolution in SAS and R softwares, as well as, data management and automation activities
Field Study Project (Master Thesis) conducted in ICAP Group: Development of automated system in R for the following activities on default characterization data:
Data cleansing, exploration and transformation
Statistical reporting and visualization
Creation of historical database and integration in optimised data schema
Part of master projects:
Data warehousing, Data management, ETL (MySQL, MemSQL, Java, R)
Statistical analyses with R using various methods, e.g. regression, classification, clustering, LASSO, PCA, Naïve Bayes, etc.
Application development using big data tools like Hadoop, Spark, Redis, MongoDB and Neo4j (Java, Scala, R)
Data Mining, Large Scale Optimization, Visual Analytics, Recommender Systems, Business Analysis